Which databases are supported by this skill?

The Database Archival System skill currently supports PostgreSQL and MySQL for automated archival processes.

Where can I archive my historical database records?

You can migrate data to internal archive tables or external cloud storage solutions including Amazon S3, Azure Blob Storage, and Google Cloud Storage (GCS).

Will archiving my data cause application downtime?

No, the skill is designed to implement zero-downtime migration strategies to ensure your primary database remains fully accessible during the archival process.

Can I define custom retention policies?

Yes, you can configure automated policies to identify records for archival based on specific criteria such as record age, table size, or custom business rules.

Database Archival System

Name: Database Archival System
Author: intent-solutions-io

byintent-solutions-io

Database Management

Automates the migration of historical database records to archive tables or cold storage to optimize performance and manage data retention.

About

The Database Archival System skill streamlines the management of large-scale databases by automating the movement of historical records to cost-effective storage solutions. It identifies data based on age or size criteria and migrates it to archive tables, Amazon S3, Azure Blob, or Google Cloud Storage, ensuring compliance with data retention policies while maintaining query accessibility. Supporting both PostgreSQL and MySQL, this skill provides zero-downtime migration, data compression, and automated reporting, making it an essential tool for reducing primary database overhead and managing the complete data lifecycle.

Key Features

Automated data compression and compliance tracking
Zero-downtime data migration strategies
Multi-cloud archival (S3, Azure Blob, GCS)
PostgreSQL and MySQL database compatibility
0 GitHub stars
Automated data retention policy enforcement

Use Cases

Moving historical audit logs to cold storage for regulatory compliance
Reducing primary database size to improve application performance
Automating lifecycle management for high-volume transaction data

About

Key Features

Automated data compression and compliance tracking
Zero-downtime data migration strategies
Multi-cloud archival (S3, Azure Blob, GCS)
PostgreSQL and MySQL database compatibility
0 GitHub stars
Automated data retention policy enforcement

Use Cases

Moving historical audit logs to cold storage for regulatory compliance
Reducing primary database size to improve application performance
Automating lifecycle management for high-volume transaction data